Dávid Péter Kovács

9 papers and 451 indexed citations i.

About

Dávid Péter Kovács is a scholar working on Materials Chemistry, Computational Theory and Mathematics and Molecular Biology. According to data from OpenAlex, Dávid Péter Kovács has authored 9 papers receiving a total of 451 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Materials Chemistry, 6 papers in Computational Theory and Mathematics and 3 papers in Molecular Biology. Recurrent topics in Dávid Péter Kovács’s work include Machine Learning in Materials Science (7 papers), Computational Drug Discovery Methods (6 papers) and Protein Structure and Dynamics (3 papers). Dávid Péter Kovács is often cited by papers focused on Machine Learning in Materials Science (7 papers), Computational Drug Discovery Methods (6 papers) and Protein Structure and Dynamics (3 papers). Dávid Péter Kovács collaborates with scholars based in United Kingdom, Canada and France. Dávid Péter Kovács's co-authors include Gábor Cśanyi, Maxwell J. Robb, Christoph Ortner, Cas van der Oord, Alpha A. Lee, Ilyes Batatia, Daniel J. Cole, Alice Allen, Venkat Kapil and Angelos Michaelides and has published in prestigious journals such as Physical Review Letters, Journal of the American Chemical Society and The Journal of Chemical Physics.

In The Last Decade

Co-authorship network of co-authors of Dávid Péter Kovács i

Fields of papers citing papers by Dávid Péter Kovács

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dávid Péter Kovács. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Dávid Péter Kovács. The network helps show where Dávid Péter Kovács may publish in the future.

Countries citing papers authored by Dávid Péter Kovács

Since Specialization
Citations

This map shows the geographic impact of Dávid Péter Kovács's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Dávid Péter Kovács with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dávid Péter Kovács more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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2025